Opportunities and Challenges for Management and Governance in Smart Cities in Brazil
DOI:
https://doi.org/10.59490/dgo.2025.1014Keywords:
Artificial intelligence, Smart cities, Governance systems, Public policies, inteli.gente, ManagementAbstract
The inteli.gente platform is an adaptation and expansion of the Sustainable Smart City Maturity Model of the International Telecommunication Union – SSCMM-ITU and is the first step towards the formation of a Brazilian BIG DATA with customized information on the levels of maturity in digital transformation and sustainable development. The diagnoses and recommendations for the estimated maturity levels use AI and data science techniques for the analyses, predictions and estimates of the 5,570 municipalities, considering the diverse characteristics and specific needs of each Brazilian territory. The result presented on the Brazilian maturity level for digital transformation and development indicates a country between the planning level (3) and the alignment level (4) of its actions. For the sociocultural dimension, the diagnoses of the municipalities indicate the need for attention in their management and governance policies for digital inclusion and social inclusion in an equitable manner throughout their territory. For the economic dimension, the results indicate that Brazil already has a framework of management tools implemented that enable the development of digital transformation and a sustainable economy. The environmental dimension indicates that strong action is needed to improve basic infrastructure in sanitation, solid waste, among other topics for
the resilience of future generations. The result of the Brazilian maturity level for the institutional capabilities dimension demonstrates that municipalities should be concerned with data governance, training leaders for digital transformation, planning and elaboration of goals and plans, among other topics. The availability and use of the inteli.gente platform by managers and
public policy makers, using Artificial Intelligence (AI) tools, has made it possible to map and improve institutional public policies based on primary and secondary data from municipalities, promoting cooperation, exchange and the creation of innovative initiatives related to digital transformation and sustainable development in the public sector.
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References
Bibri, S. E., & Krogstie, J. (2017). Smart sustainable cities of the future: an extensive interdisciplinary literature review. Sustainable Cities and Society, 31, 183-212.
CNM (2023) - Confederação Nacional de Municípios, (2023). Available [link]
IESE Business School. (2018). Cities in Motion Index. Business School. Pamplona, ES: University of Navarra. Available: [link].
International Telecommunication Union (ITU). (2019). ITU-T Y.4906;04: Assessment framework for digital transformation of sectors in smart cities SSCMM-ITU. Genebra, SWZ: ITU. Available: [link]
IISD- (1997)International Institute for Sustainable Development (IISD). (1997). Complete Bellagio Principles. Winnipeg, CA: IISD. Available: [link] full.asp.
ISO 37120:2018(en). (2018). Sustainable Cities and Communities - Indicators for Urban Services and Quality of Life. Genebra, SWZ. Available: [link].
ISO 37122:2019(en). (2019). Sustainable Cities and Communities - Indicators for Smart Cities. Genebra, SWZ. Available: [link].
ISO 37123:2019(en). (2019). Sustainable Cities and Communities – Indicators for Resilient Cities. Genebra, SWZ. Available: [link].
Manual Reference (2023) Manual de referência para coleta e metrificação de dados para os indicadores da Plataforma inteli.gente: transformação digital para as cidades brasileiras versão 03 / Ministério da Ciência, Tecnologia e Inovação; Inteligência Artificial Recriando Ambientes – IARA – ICMC/USP. 1. ed. São Carlos: ICMC/USP, 2023. 171 p. ; pdf. ISBN 978-85-87837-41-7
ODS – SDG’S, (2023) – Objetivos de Desenvolvimento Sustentável . Available [link]
Odum, H.T. (1996) Environmental Accounting: EMERGY and Environmental Decision Making. Wiley, New York.
Programa para Cidades Inteligentes e Sustentáveis (PCSI), 2018. Instituto Cidades Sustentáveis, ETHOS e Rede Cidades com Apoio CITinova. Available : [link]
Paseto, L, (2021) XI Seminário em TI do PCI/CTI – 2021 Infraestrutura: universalidade nas cidades brasileiras
Paseto,L; Martinez,M.R.M; Przeybilovicz,E.,(2020). Cidades Inteligentes e Indústria 4.0: A influência das tecnologias da informação e comunicação. 17ª edição da Revista E-Locução (ISSN 2238-1899), 2020.
Plataforma inteli.gente,(2021) – Ministério da Ciência, Tecnologia e Inovações - MCTI, (2021). Available: [link]
SEADE Fundação, (2023) Available: [link]
Y.Sup78, (2023) : Y-78 ITU- T : Use cases on implemented or evaluated smart sustainable city solutions based on ITU-T Y.4900 Recommendations series
Yigitcanlar, T. et al. (2019). Can cities become smart without being sustainable? A systematic review of the literature. Sustainable cities and society, 45, p. 348-365.
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Copyright (c) 2025 Luísa Paseto, Márcia Regina Martins Martinez Corso, Andre Ponce de Leon Ferreira de Carvalho
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